menik1126/ovd-math-1-data-full-step300-historical
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 20, 2026Architecture:Transformer Featherless Exclusive Cold
The menik1126/ovd-math-1-data-full-step300-historical model is a 1.5 billion parameter language model from the OVD collection, specifically representing a historical 1-data experiment. It provides inference weights and a tokenizer for this particular iteration. This model is part of a series focused on mathematical reasoning and data processing, offering insights into the development of such specialized language models.
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Model Overview
The menik1126/ovd-math-1-data-full-step300-historical is a 1.5 billion parameter model, part of the broader OVD collection. This specific release provides the inference weights and tokenizer for a historical iteration of the "1-data full, step 300" experiment.
Key Characteristics
- Parameter Count: 1.5 billion parameters, offering a balance between computational efficiency and capability.
- Context Length: Supports a substantial context window of 32768 tokens.
- Origin: Derived from the OVD collection, which focuses on specialized language model development.
- Purpose: Represents a specific historical snapshot of an experiment, likely related to data processing or mathematical tasks, given the collection's focus.
Use Cases
This model is particularly useful for:
- Research and Development: Studying the evolution and performance of models within the OVD collection, especially for understanding the impact of specific training steps or data configurations.
- Historical Analysis: Analyzing the capabilities and limitations of earlier experimental models in specialized domains.
- Baseline Comparisons: Serving as a baseline for comparing against newer or differently trained models within the same research trajectory.